Results 281 to 290 of about 10,917,671 (339)
Some of the next articles are maybe not open access.
An efficient selector for multi-granularity attribute reduction
Information Sciences, 2019Presently, the mechanism of multi-granularity has been frequently realized by various mathematical tools in Granular Computing especially rough set. Nevertheless, as a key topic of rough set, attribute reduction has been rarely exploited by the concept ...
Ke-Yu Liu +5 more
semanticscholar +1 more source
Multigranulation consensus fuzzy-rough based attribute reduction
Knowledge-Based Systems, 2020As big data often contains a significant amount of unstructured, imprecise, and uncertain data, the fuzzy-rough-set-based attribute reduction is a valuable technique for uncertainty reasoning and data mining. However, tradition fuzzy-rough-set algorithms
Weiping Ding +2 more
semanticscholar +1 more source
Local attribute reductions for decision tables
Information Sciences, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guilong Liu, Zheng Hua, Jiyang Zou
openaire +1 more source
Multi-granularity Attribute Reduction
2018It is known that different parameters used in Gaussian kernel will provide us different granularities of information granulations. Therefore, kernel based fuzzy rough set has the characteristic of multi-granularity. From this point of view, a multi-granularity attribute reduction strategy is developed in this paper. Different from traditional reduction
Shaochen Liang +4 more
openaire +2 more sources
Quick Complete Attribute Reduction Algorithm
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009To improve the efficiency of attribute reduction and obtain the minimal attribute reduction, the notion of consistent simplified decision table is proposed. The concentrated discernibility set is created in the consistent simplified decision table, and an algorithm of completeness attribute reduction based on concentrated discernibility set is put ...
Chuanjian Yang +3 more
openaire +2 more sources
A common attribute reduction form for information systems
Knowledge-Based Systems, 2020An information system is an important form of knowledge representation, and attribute reduction plays an important role in machine learning, data mining, and intelligent systems.
Gui-Long Liu, Yan-Bin Feng, Ji-Tao Yang
semanticscholar +1 more source
Attribute reduction based on neighborhood constrained fuzzy rough sets
Knowledge-Based Systems, 2023Meng Hu +4 more
semanticscholar +1 more source
A fast parallel attribute reduction algorithm using Apache Spark
Knowledge-Based Systems, 2020Effective and fast attribute reduction algorithm on high-dimensional dataset is one of the most important issues of big data, and several parallel attribute reduction algorithms were implemented by using MapReduce.
Lin-Zi Yin +3 more
semanticscholar +1 more source
Reducts and constructs in attribute reduction
Fundam. Informaticae, 2004Summary: One of the main notions in the Rough Set Theory (RST) is that of a reduct. According to its classic definition, the reduct is a minimal subset of the attributes that retains some important properties of the whole set of attributes. The idea of the reduct proved to be interesting enough to inspire a great deal of research and resulted in ...
openaire +2 more sources
Research on attribute reduction algorithm with weights
Journal of Intelligent & Fuzzy Systems, 2014Rough set is a mathematical tool proposed by professor Pawlak to deal with uncertain knowledge. Attribute reduction is one of the core contents of rough set theory when people acquire knowledge from an information system. The existing reduction algorithms are often based on a kind of attribute importance, without considering the application information
Qinghua Zhang 0001, Wen Shen 0004
openaire +2 more sources